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Database Recovery Concepts and Techniques

Database Recovery Concepts and Techniques. Dr. Muhammad Shafique. References. Textbook Chapter 19 Database Recovery Techniques [Optional]

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Database Recovery Concepts and Techniques

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  1. Database Recovery Concepts and Techniques Dr. Muhammad Shafique Database Recovery

  2. References • Textbook Chapter 19 Database Recovery Techniques • [Optional] “Recovery from Malicious TransactionsPaul Ammann, Sushil Jajodia, and Peng LiuIEEE Transactions on Knowledge and Data Engineering, Volume 14, Number 5, September/October 2002, pp 1167 – 1185. Database Recovery

  3. Outline • Database Recovery Concepts and Techniques • Introduction • I/O model for databases revisited • Failure classification • Recovery concepts • Recovery techniques based on deferred update • Recovery techniques based on immediate update • Shadow paging • Recovery in multi-databases • Recovery from catastrophic failures • The ARIES recovery algorithm Database Recovery

  4. Introduction • Database recovery • Pre-condition: At any given point in time the database is in a consistent state. • Condition: Some kind of system failure occurs • Post-condition --- Restore the database to the consistent state that existed before the failure • Database recovery is the process of restoring the database to the most recent consistent state that existed just before the failure. • Database reliability --- resilience of the database to various types of failure and its capability to recover from the failures. Database Recovery

  5. I/O Model for Databases Revisited • Important features of I/O model for centralized databases • Persistent (secondary) storage • Buffers • Program work areas • Client/server databases • Redo operation needs new value of the data item • Undo operation needs old value of the data item • Redo operation required to be idempotent Database Recovery

  6. Failure Classification • Types of failures • Transaction failure • Erroneous parameter values • Logical programming error • System error like integer overflow, division by zero • Local error like “data not found” • User interrupt • Concurrency control enforcement • Malicious transaction • System crash • A hardware, software, or network error (also called media failure) • Disk failure • Catastrophe Database Recovery

  7. Recovery Concepts • System log • Deferred update (No-Undo/Redo algorithm) • Immediate update (Undo/Redo algorithm) • Caching of disk blocks • DBMS cache --- a collection of in-memory buffers • Directory for the cache --- <disk-page-address, buffer-loc> • Buffer replacement strategy • Dirty bit for each buffer to indicate if the buffer has been modified • Pin-unpin bit --- can or cannot be written to disk • Two main strategies for flushing a modified buffer back to disk • In-place updates • Shadowing • BFIM and AFIM Database Recovery

  8. Recovery Concepts • Write-Ahead Log (WAL) • Steal --- cache page updated by a transaction can be written to disk before the transaction commits • No-steal approach --- cache page updated by a transaction cannot be written to disk before the transaction commits • Force --- when a transaction commits, all pages updated by the transaction are immediately written to disk • No-force --- when a transaction commits, all pages updated by the transaction are notimmediately written to disk Database Recovery

  9. Recovery Concepts • Active, committed, and aborted transactions • Check pointing • Checkpoints in the system log • Suspend execution of transactions temporarily • Force-write all modified buffers to disk • Write checkpoint record in the log file and force-write the log to disk • Resume execution of transactions • Fuzzy check-pointing • Transaction rollback • Cascaded rollback Database Recovery

  10. Recovery Techniques Based on Deferred Update • PROCEDURE RDU_M (WITH CHECKPOINTS): Use two lists of transactions maintained by the system: the committed transactions T since the last checkpoint (commit list), and the active transactions T (active list). REDO all the WRITE operations of the committed transactions from the log, in the order in which they were written intothe log. The transactions that are active and did not commit are effectively canceled and must be resubmitted. Database Recovery

  11. Recovery Techniques Based on Immediate Update • PROCEDURE RIU_M • Use two lists of transactions maintained by the system: the committed transactions since the last checkpoint and the active transactions. • Undo all the write_item operations of the active (uncommitted) transactions, using the UNDO procedure. The operations should be undone in the reverse of the order in which they were written into the log. • Redo all the write_item operations of the committed transactions from the log, in the order in which they were written into the log. Database Recovery

  12. Shadow Paging • Directory • Current directory • Shadow directory • During the transaction execution, shadow directory is never modified • Shadow page recovery • Free the modified database pages • Discard the current directory • Advantages • No-redo/no-undo • Disadvantages • Creating shadow directory may take a long time • Updated database pages change locations • Garbage collection is needed Database Recovery

  13. Shadow Paging Database Recovery

  14. Recovery from Catastrophic Failures • Database backup • Log backup • Recovery strategy Database Recovery

  15. Recovery in Multidatabase Systems • Multidatabase transaction • Global recovery manager or Coordinator • Two-phase commit protocol • Phase 1 • At the end of the transaction, the coordinator sends a message to all participants “prepare to commit” • Each participant, on receiving the message “force write all log entries on local disk” and sends OK signal to the coordinator • Phase 2 • If all participants OK, the transaction is successful and the coordinator sends commit signal to all participants • Otherwise transaction fails and the coordinator sends rollback signal to all participants Database Recovery

  16. ARIES Recovery Algorithm • ARIES: Algorithm for Recovery and Isolation Exploiting Semantics • First presented in 1989 • Used in IBM’s DB2, MS SQL Server, Sybase • ARIES uses steal/no-force approach with • Write-Ahead Log (WAL) • Repeating history during redo • Logging changes during undo Database Recovery

  17. ARIES Recovery Algorithm • Information needed for recovery includes • The log • Transaction Table • Dirty Page Table • Checkpointing • In ARIES, every log entry has an associated Log Sequence Number (LSN) • Transaction Table and Dirty page Table are maintained by the transaction manager. • ARIES uses fuzzy checkpointing. Database Recovery

  18. ARIES Recovery Algorithm • After the crash, ARIES recovery manager takes over • Recovery procedure consists of three main steps • Analysis --- identify the dirty (updated pages) in the buffer and set of active transactions at the time of failure • Redo --- reapply updates from the log to the database. It will be done for the committed transactions. • Undo --- scan the log backward and undo the actions of the active transactions in the reverse order. Database Recovery

  19. Summary • Database recovery concepts and techniques • Introduction • I/O model for databases revisited • Failure classification • Recovery concepts • Recovery techniques based on deferred update • Recovery techniques based on immediate update • Shadow paging • Recovery from catastrophic failures • The ARIES recovery algorithm Database Recovery

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